How does a rapidly scaling, collaboration-centric company like Miro empower teams to make faster, evidence-based decisions? By leveraging Snowflake as the foundation of its data ecosystem. This session explores how Miro integrates hundreds of data sources with substantial data volumes into a single, unified platform and manages data transformations at scale. But mostly; learn how Miro is scaling business outcomes through effortless data sharing and timely analytics.

Learn how to bring all your data together with Snowflake Openflow to build with limitless interoperability and deployment flexibility, no matter if it's structured, unstructured, batch or streaming data. Make your integration pipelines ready for AI and the future.

Discover how to build and deploy a no-code, agentic AI platform with Snowflake Intelligence. See how organizations are bringing together structured and unstructured data to make insights accessible across their entire enterprise via an AI-driven agentic interface, all within Snowflake. Join us for a product overview, best practices discussion and live demo.

Snowflake's latest features, like Cortex, are revolutionizing how we approach AI and data innovation. But how do you build the robust, AI-ready data pipelines needed to power them without getting bogged down in complex coding and lengthy development cycles?

This hands-on lab reveals how to bridge that gap. Discover how Coalesce’s data transformation platform lets you harness Snowflake’s most powerful capabilities. We’ll show you how to automate the complex groundwork, freeing you to focus on delivering high-impact data and AI projects faster than ever. You’ll learn how to:

•Automate and accelerate pipeline development by 10x using ready-made templates to handle common data transformations •Seamlessly operationalize Snowflake Cortex, bringing powerful AI and ML functions directly into your data workflows in minutes •Master modern data engineering on Snowflake by simplifying the use of advanced features like Dynamic Tables, Iceberg Tables, and Snowpark automation. Get Ready for the Lab:

For the best hands-on experience, please sign up for a Snowflake trial account before the event. Once activated, create your Coalesce trial account via Snowflake’s Partner Connect portal.

This is a Hands-On workshop, all attendees must bring their own laptop to participate.

Boels Rental is one of Europe’s leading providers of equipment and tool hire. The Data & Analytics program sought to unify data on Snowflake, standardize analytics, and establish a cohesive framework for data-driven decision-making.

In this session, Roy Louvenberg and Ralph Knoops at Boels Rental, will share how the team leveraged Fivetran to rapidly and securely connect diverse data sources into a single central platform—empowering business operations, driving insights, and maximizing ROI.

Join this session to discover:

•Why fresh, reliable data is essential for analytics and business processes at Boels Rental •How Fivetran enables seamless integration from a wide range of sources, including SAP S/4HANA, Db2, and SQL Server

Come to this session to learn about Snowflake solutions for handling your transactional data. Hybrid Tables are tightly integrated into Snowflake providing a unified experience for transactional and analytical workloads, meaning no need for ETL. Postgres is an open source RDBMS loved by developers with very low latency reads and writes, and following the acquisition of Crunchy Data it will be coming to your Snowflake accounts. We'll describe the architectural differences between Postgres and Hybrid tables and help you navigate when to use which.

Bridging the Gap: Using Generative AI for Audience Insight & Segmentation

Seats are limited to 16 attendees. Register here to save your spot. 

https://www.snowflake.com/event/marketing-data-stack-roundtable-swt-amsterdam-2025/

This roundtable explores how generative AI (GenAI) is revolutionizing audience segmentation and insights. The discussion will focus on practical, in-the-moment applications that empower marketers and media professionals to move beyond static data analysis. We will examine how GenAI tools, like those available natively on Snowflake Cortex, can translate complex data filters into rich, narrative-driven audience descriptions. 

The conversation will also highlight how GenAI capabilities streamline workflows by allowing users to build audience segments using natural language, democratizing access to data and accelerating decision-making. The goal is to provide a clear, concise, and actionable understanding of how GenAI is bridging the gap between raw data and powerful, human-centric insights.

In this session, discover how organizations are extracting actionable insights from text, documents, images and audio — all in Snowflake Cortex AI. This session reveals practical techniques for building integrated multimodal analytics pipelines using Cortex AI SQL functions and Document AI. Learn how to orchestrate complex, multi-step data analysis across previously siloed data types — simply, with SQL.

VodafoneZiggo, one of Europe’s leading telecommunications and entertainment providers, had accumulated years of data stored on multiple platforms, each shaped by different modeling approaches and design decisions, resulting in complexity and mounting technical debt. As the company moved to consolidate everything on Snowflake, the challenge was to unify these inconsistent systems into a single, efficient architecture. Rather than build custom tooling, VodafoneZiggo chose Coalesce to define its patterns once and automatically render them as code, ensuring governance, consistency, and cost efficiency across teams. This shift ensures consistent data vault modelling, enables faster time to market, and provides teams with the flexibility to innovate within well-governed standards—balancing predictability with adaptability at enterprise scale.

In this session, Stephen Martens, Data & AI Solution Architect & Vincent Eggenhuizen, Senior Data Engineer, will share how VodafoneZiggo approached consolidation, standardized its architecture, and empowered teams to build faster with confidence.

Booking.com has confidently accelerated their AI vision with a solid and smart data governance foundation, built on Snowflake and Immuta. We will discuss Booking.com's AI goals, how agentic AI is reshaping the traveler experience, and the importance of scalable data governance in making it happen. We’ll also discuss how Booking.com’s data marketplace allows them to find, share and provision instant data access, allowing data owners to share data at scale to achieve a truly connected customer experience.

Learn how to accelerate and automate migrations with SnowConvert AI, featuring data ecosystem migration agents powered by Snowflake Cortex AI. SnowConvert AI is your free, automated solution designed to dramatically reduce the complexities, costs, and timelines associated with data warehouse and BI migrations. It intelligently analyzes your existing code, automating code conversion, data validation, and streamlining the entire migration process. Join us for an overview of the solution, migration best practices, and live demos.

Learn how to build a Data Agent for Snowflake Intelligence using Snowflake Cortex AI that can intelligently respond to questions by reasoning over both structured and unstructured data.

We'll use a custom dataset focused on bikes and skis. This dataset is intentionally artificial, ensuring that no external LLM has prior knowledge of it. This gives us a clean and controlled environment to test and evaluate our data agent. By the end of the session, you'll have a working AI-powered agent capable of understanding and retrieving insights across diverse data types — all securely within Snowflake.

This is a Hands-On workshop, all attendees must bring their own laptop to participate.

In this session, we will enable CDAO's Enterprise Data Strategy by exploring the full lifecycle from the concept of data products—packaged, readily consumable data assets—to their distribution through Snowflake's internal marketplace.We will drive home 5 key points within this data product lifecycle:

1.Simplified data access for business users 2.Improved data discoverability & understanding 3.Increased data utilization & adoption 4.Accelerated time to insight 5.Metrics & considerations

Seats are limited to 16 participants to ensure a focused, interactive discussion. Registration on request. 

This roundtable will explore how top financial institutions are leveraging Snowflake for data engineering, analytics, and the next wave of AI workloads, the latest Snowflake innovations in AI, and best practices to accelerate regulatory reporting (DORA, ESG, BCBS) and harnessing Snowflake’s marketplace of 800+ FSI data providers. 

The rapid adoption of AI raises a burning question: How do we measure the effectiveness of our teams and our impact on the business?  This isn’t theoretical; it's existential. A recent survey of CIOs found that “Estimating and demonstrating AI value” was the top barrier to implementing AI initiatives. The pressure to deliver is on. Boards worry. The press speculates: “Is all of this actually worth anything?” Bottom line: It’s up to data and AI leaders to deliver and measure the business impact of their AI initiatives and the underlying data. Many already are.

Join this session to learn how to define and track the metrics used to justify continued investment in data and AI infrastructure. Hear how seasoned data and AI executives ensure that the AI initiatives they deploy will deliver true business value.

Join Toyota Motor Europe to discover their journey towards a fully operationalized Data Mesh with dbt and Snowflake.

TME (Toyota Motos Europe), one of biggest automobile manufacturing companies, oversees the wholesale sales and marketing of Toyota and Lexus vehicles in Europe. This session will showcase how dbt Cloud and Snowflake are supporting their data strategy.

They will elaborate on challenges faced along the way, and how their platform is supporting their future vision, e.g. enabling advanced real-time analytics, scaling while maintaining governance and best practices and setting themselves up with a strong data foundation to launch their AI/ML initiatives.

Join Martin Frederik, Maria Wiss, Grace Adamson, and Dash Desai, as they kickoff Snowflake World Tour Amsterdam, share vision for the AI Data Cloud, customer stories and make exciting product announcements.